دانلود کتاب Distributed Computing with Python

فهرست مطالب :

Cover
Copyright
Credits
About the Author
About the Reviewer
www.PacktPub.com
Table of Contents
Preface
Chapter 1: An Introduction to Parallel and Distributed Computing
Parallel computing
Distributed computing
Shared memory versus distributed memory
Amdahl\'s law
The mixed paradigm
Summary
Chapter 2: Asynchronous Programming
Coroutines
An asynchronous example
Summary
Chapter 3: Parallelism in Python
Multiple threads
Multiple processes
Multiprocess queues
Closing thoughts
Summary
Chapter 4: Distributed Applications – with Celery
Establishing a multimachine environment
Installing Celery
Testing the installation
A tour of Celery
More complex Celery applications
Celery in production
Celery alternatives – Python-RQ
Celery alternatives – Pyro
Summary
Chapter 5: Python in the Cloud
Cloud computing and AWS
Creating an AWS account
Creating an EC2 instance
Storing data in Amazon S3
Amazon elastic beanstalk
Creating a private cloud
Summary
Chapter 6: Python on an HPC Cluster
Your typical HPC cluster
Job schedulers
Running a Python job using HTCondor
Running a Python job using PBS
Debugging
Summary
Chapter 7: Testing and Debugging Distributed Applications
The big picture
Common problems – clocks and time
Common problems – software environments
Common problems – permissions and environments
Common problems – the availability of hardware resources
Challenges – the development environment
A useful strategy – logging everything
A useful strategy – simulating components
Summary
Chapter 8: The Road Ahead
The first two chapters
The tools
The cloud and the HPC world
Debugging and monitoring
Where to go next
Index